8000 BUG: DataFrame respects dtype with masked recarray by mroeschke · Pull Request #24874 · pandas-dev/pandas · GitHub
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BUG: DataFrame respects dtype with masked recarray #24874

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Merged
merged 6 commits into from
Jan 22, 2019
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BUG: DataFrame respects dtype with masked recarray #24874

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39e5044
BUG: DataFrame respects dtype with masked recarray
Jan 19, 2019
f8f2639
Merge remote-tracking branch 'upstream/master' into mrecarray_dtype
Jan 22, 2019
4abee87
honor --> honored
Jan 22, 2019
a4ee6ff
Add PR number
Jan 22, 2019
2d3f35b
pluralize, (CI dummy commit)
Jan 22, 2019
b3bd042
Fix import
Jan 22, 2019
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honor --> honored
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Matt Roeschke committed Jan 22, 2019
commit 4abee87b35efb71801a5051370c0e60db02456a3
2 changes: 1 addition & 1 deletion doc/source/whatsnew/v0.24.0.rst
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Expand Up @@ -1693,7 +1693,7 @@ Missing
- :func:`Series.isin` now treats all NaN-floats as equal also for ``np.object``-dtype. This behavior is consistent with the behavior for float64 (:issue:`22119`)
- :func:`unique` no longer mangles NaN-floats and the ``NaT``-object for ``np.object``-dtype, i.e. ``NaT`` is no longer coerced to a NaN-value and is treated as a different entity. (:issue:`22295`)
- :class:`DataFrame` and :class:`Series` now properly handle numpy masked arrays with hardened masks. Previously, constructing a DataFrame or Series from a masked array with a hard mask would create a pandas object containing the underlying value, rather than the expected NaN. (:issue:`24574`)
- Bug in :class:`DataFrame` constructor where ``dtype`` argument was not honor when handling a numpy masked record array. (:issue:``)
- Bug in :class:`DataFrame` constructor where ``dtype`` argument was not honored when handling a numpy masked record array. (:issue:``)

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